Polynomial Mendelian randomization reveals non-linear causal effects for obesity-related traits

Causal inference is a critical step in improving our understanding of biological processes, and Mendelian randomization (MR) has emerged as one of the foremost methods to efficiently interrogate diverse hypotheses using large-scale, observational data from biobanks. Although many extensions have bee...

Description complète

Détails bibliographiques
Auteurs principaux: Jonathan Sulc, Jennifer Sjaarda, Zoltán Kutalik
Format: Article
Langue:English
Publié: Elsevier 2022-07-01
Collection:HGG Advances
Sujets:
Accès en ligne:http://www.sciencedirect.com/science/article/pii/S2666247722000409